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The Town Crier: A Use-Case Design and Implementation for a Socially Assistive Robot in Retirement Homes

Authors :
Ana Iglesias
Raquel Viciana
José Manuel Pérez-Lorenzo
Karine Lan Hing Ting
Alberto Tudela
Rebeca Marfil
Malak Qbilat
Antonio Hurtado
Antonio Jerez
Juan Pedro Bandera
Source :
Robotics, Vol 13, Iss 4, p 61 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

The use of new assistive technologies in general, and Socially Assistive Robots (SARs) in particular, is becoming increasingly common for supporting people’s health and well-being. However, it still faces many issues regarding long-term adherence, acceptability and utility. Most of these issues are due to design processes that insufficiently take into account the needs, preferences and values of intended users. Other issues are related to the currently very limited amount of long-term evaluations, performed in real-world settings, for SARs. This study presents the results of two regional projects that consider as a starting hypothesis that the assessment in controlled environments and/or with short exposures may not be enough in the design of an SAR deployed in a retirement home and the necessity of designing for and with users. Thus, the proposed methodology has focused on use-cases definitions that follow a human-centred and participatory design approach. The main goals have been facilitating system acceptance and attachment by involving stakeholders in the robots design and evaluation, overcoming usage barriers and considering user’s needs integration. The implementation of the first use-case deployed and the two-phase pilot test performed in a retirement home are presented. In particular, a detailed description of the interface redesign process based on improving a basic prototype with users’ feedback and recommendations is presented, together with the main results of a formal evaluation that has highlighted the impact of changes and improvements addressed in the first redesign loop of the system.

Details

Language :
English
ISSN :
22186581
Volume :
13
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Robotics
Publication Type :
Academic Journal
Accession number :
edsdoj.f80e411fcdd46f395a13a386c076358
Document Type :
article
Full Text :
https://doi.org/10.3390/robotics13040061